A stable model order reduction scheme for an acoustic finite element model with perfectly matched layers

Perfectly matched layers (PMLs) are often used in an exterior acoustic finite element model to simulate the Sommerfeld radiation condition. However, the time-domain model is often too large to efficiently handle the transient simulation due to the frequency-dependent stretching function and the number of elements needed per wavelength. Krylov subspace-based model order reduction can alleviate this problem by only matching the important moments of the original model. However, stability-preservation is not guaranteed, which is the key to perform time-domain simulation. This work proposes a stability-preserving model order reduction scheme for the time-domain PMLs. By assessing the stability conditions of time-domain PMLs, a two-step strategy is applied. Firstly, a one-sided split basis is used to preserve the form of Lyapunov function of the original model such that a stable intermediate reduced order model (ROM) results. Secondly, an unsplit basis is applied on the modal transformation of this intermediate ROM to reduce the size further. The proposed method is verified by numerical simulations.

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Publication Details

Journal
NOISE-CON proceedings
Published
2024-10-04
DOI
https://doi.org/10.3397/in_2024_3161
Primary Topic
Model Reduction and Neural Networks
Type
article
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article

A stable model order reduction scheme for an acoustic finite element model with perfectly matched layers

Sjoerd van Ophem, Yinshan Cai, Wim Desmet, Elke Deckers
NOISE-CON proceedings
Model Reduction and Neural Networks
article

A stable model order reduction scheme for an acoustic finite element model with perfectly matched layers

Sjoerd van Ophem, Yinshan Cai, Wim Desmet, Elke Deckers
article en

Abstract

Perfectly matched layers (PMLs) are often used in an exterior acoustic finite element model to simulate the Sommerfeld radiation condition. However, the time-domain model is often too large to efficiently handle the transient simulation due to the frequency-dependent stretching function and the number of elements needed per wavelength. Krylov subspace-based model order reduction can alleviate this problem by only matching the important moments of the original model. However, stability-preservation is not guaranteed, which is the key to perform time-domain simulation. This work proposes a stability-preserving model order reduction scheme for the time-domain PMLs. By assessing the stability conditions of time-domain PMLs, a two-step strategy is applied. Firstly, a one-sided split basis is used to preserve the form of Lyapunov function of the original model such that a stable intermediate reduced order model (ROM) results. Secondly, an unsplit basis is applied on the modal transformation of this intermediate ROM to reduce the size further. The proposed method is verified by numerical simulations.

NOISE-CON proceedingsVol. 270(9)
Flanders Make (Belgium) (BE), KU Leuven (BE)
Openalex Percentile: Top 84%
Model Reduction and Neural Networks
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A stable model order reduction scheme for an acoustic finite element model with perfectly matched layers — Sjoerd van Ophem, Yinshan Cai, et al. · NOISE-CON proceedings (2024) | TGRS Research Map | TGRS